Job Description
We’re looking for a Voice AI Engineer to design, develop, and deploy an intelligent AI voice calling system. You'll architect end-to-end pipelines that include speech recognition, intent detection, AI-generated responses, and human handoff.
Ideal Candidate
An expert in voice automation, telephony, and LLM integrations, with hands-on experience building tools like AI-powered IVRs, booking agents, and support bots.
Key Responsibilities
- Design and build voice AI workflows (inbound and outbound) using Twilio Voice, Google Dialogflow, or custom pipelines.
- Integrate LLMs (OpenAI, Anthropic, etc.) for natural language understanding and response generation.
- Implement Speech-to-Text and Text-to-Speech using Google Cloud, AWS, Azure, or Whisper.
- Develop logic for IVR routing, call recording, voicemail handling, and live agent transfers.
- Handle error recovery, fallback flows, and conversational edge cases.
- Ensure compliance with privacy, consent, and call-recording laws (HIPAA, GDPR, etc.).
- Optimize for call latency, interruption handling, and human-like tone.
Requirements
- 3+ years of experience building voice systems or IVRs.
- Strong experience with Twilio Voice, Call Control Objects (TwiML), and SIP.
- Hands-on with OpenAI / GPT APIs, Whisper, or other LLMs/NLP systems.
- Experience with Google Cloud Speech, AWS Polly, or Azure Cognitive Services.
- Proficiency in Node.js or Python.
- Experience with call analytics, transcription, sentiment detection, etc.
- Familiarity with voice UX design, turn-taking, confirmation prompts, and fallback design.
Bonus Points For
- Built a full AI calling assistant or IVR for booking, support, or claims.
- Integrated with CRM, calendar, or ticketing systems.
- Familiar with agentic frameworks for chaining AI actions.
- Experience with HIPAA or enterprise-grade security.
Job Highlights
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